Publications by authors named "Franjo Pernus"

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Deep geometric learning for intracranial aneurysm detection: towards expert rater performance.
Žiga Bizjak, June Ho Choi, Wonhyoung Park, Franjo Pernuš, Žiga Špiclin

J Neurointerv Surg· October 2024

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Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models.
Lara Dular, Franjo Pernuš, Žiga Špiclin,

Comput Biol Med· May 2024

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Extensive T1-weighted MRI Preprocessing Improves Generalizability of Deep Brain Age Prediction Models.
Lara Dular, Franjo Pernuš, Žiga Špiclin

bioRxiv· October 2023

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MCDataset: a public reference dataset of Monte Carlo simulated quantities for multilayered and voxelated tissues computed by massively parallel PyXOpto Python package.
Miran Bürmen, Franjo Pernuš, Peter Naglič

J Biomed Opt· April 2022

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Deep Shape Features for Predicting Future Intracranial Aneurysm Growth.
Žiga Bizjak, Franjo Pernuš, Žiga Špiclin

Front Physiol· July 2021

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Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods.
Tomaž Vrtovec, Domen Močnik, Primož Strojan, Franjo Pernuš, Bulat Ibragimov

Med Phys· September 2020

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Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural network.
Yevhen Zelinskyi, Peter Naglič, Franjo Pernuš, Boštjan Likar, Miran Bürmen

Biomed Opt Express· July 2020

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Automated Cutting Plane Positioning for Intracranial Aneurysm Quantification.
Tim Jerman, Aichi Chien, Franjo Pernus, Bostjan Likar, Ziga Spiclin

IEEE Trans Biomed Eng· February 2020

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Practical Priors for Bayesian Inference of Latent Biomarkers.
Hennadii Madan, Rok Berlot, Nicola J Ray, Franjo Pernus, Ziga Spiclin

IEEE J Biomed Health Inform· February 2020

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Reference-free error estimation for multiple measurement methods.
Hennadii Madan, Franjo Pernuš, Žiga Špiclin

Stat Methods Med Res· July 2019

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Variability Analysis of Manual and Computer-Assisted Preoperative Thoracic Pedicle Screw Placement Planning.
Dejan Knez, Janez Mohar, Robert J Cirman, Boštjan Likar, Franjo Pernuš

Spine (Phila Pa 1976)· November 2018

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Segmentation of parotid glands from registered CT and MR images.
Domen Močnik, Bulat Ibragimov, Lei Xing, Primož Strojan, Boštjan Likar

Phys Med· August 2018

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Efficient estimation of subdiffusive optical parameters in real time from spatially resolved reflectance by artificial neural networks.
Matic Ivančič, Peter Naglič, Franjo Pernuš, Boštjan Likar, Miran Bürmen

Opt Lett· June 2018

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3D-2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms.
Uroš Mitrović, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

Int J Comput Assist Radiol Surg· February 2018

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A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus.
Žiga Lesjak, Alfiia Galimzianova, Aleš Koren, Matej Lukin, Franjo Pernuš

Neuroinformatics· January 2018

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Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesions.
Alfiia Galimzianova, Žiga Lesjak, Daniel L Rubin, Boštjan Likar, Franjo Pernuš

J Med Imaging (Bellingham)· January 2018

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Virtually increased acceptance angle for efficient estimation of spatially resolved reflectance in the subdiffusive regime: a Monte Carlo study.
Matic Ivančič, Peter Naglič, Franjo Pernuš, Boštjan Likar, Miran Bürmen

Biomed Opt Express· November 2017

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Segmentation of Pathological Structures by Landmark-Assisted Deformable Models.
Bulat Ibragimov, Robert Korez, Bostjan Likar, Franjo Pernus, Lei Xing

IEEE Trans Med Imaging· July 2017

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Adopting higher-order similarity relations for improved estimation of optical properties from subdiffusive reflectance.
Peter Naglič, Franjo Pernuš, Boštjan Likar, Miran Bürmen

Opt Lett· April 2017

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Lookup table-based sampling of the phase function for Monte Carlo simulations of light propagation in turbid media.
Peter Naglič, Franjo Pernuš, Boštjan Likar, Miran Bürmen

Biomed Opt Express· March 2017

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A framework for automatic creation of gold-standard rigid 3D-2D registration datasets.
Hennadii Madan, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Int J Comput Assist Radiol Surg· February 2017

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Validation of White-Matter Lesion Change Detection Methods on a Novel Publicly Available MRI Image Database.
Žiga Lesjak, Franjo Pernuš, Boštjan Likar, Žiga Špiclin

Neuroinformatics· October 2016

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Deconvolution-based restoration of SWIR pushbroom imaging spectrometer images.
Jurij Jemec, Franjo Pernuš, Boštjan Likar, Miran Bürmen

Opt Express· October 2016

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Enhancement of Vascular Structures in 3D and 2D Angiographic Images.
Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin

IEEE Trans Med Imaging· September 2016

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Estimation of optical properties by spatially resolved reflectance spectroscopy in the subdiffusive regime.
Peter Naglic, Franjo Pernuš, Boštjan Likar, Miran Bürmen

J Biomed Opt· September 2016

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